Modelling of Objects Behaviour for Their Re-identification in Multi-camera Surveillance System Employing Particle Filters and Flow Graphs

Author:

Lisowski Karol,Czyżewski Andrzej

Publisher

Springer International Publishing

Reference18 articles.

1. Cheng, Y.S., Huang, C.M., Fu, L.C: Multiple people visual tracking in a multi-camera system for cluttered environments. In: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 675–680 (2006)

2. Colombo, A., Orwell, J., Velastin, S.: Colour constancy techniques for re-recognition of pedestrians from multiple surveillance cameras. In: Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications, pp. 1–13 (2008)

3. Czyżewski, A., Szwoch, G., Dalka, P., Szczuko, P., Ciarkowski, A., Ellwart, D., Merta, T., Łopatka, K., Kulasek, Ł., Wolski, J.: Multi-stage video analysis framework. In: Weiyao, L. (ed.) Video Surveillance, chapter 9, pp. 145–171. Intech (2011)

4. Czyżewski, A., Dalka, P.: Moving object detection and tracking for the purpose of multimodal surveillance system in urban areas. In: Tsihrintzis, G., Virvou, M., Howlett, R., Jain, L. (eds.) New Directions in Intelligent Interactive Multimedia, Studies in Computational Intelligence, vol. 142, pp. 75–84. Springer, Heidelberg (2008)

5. Czyżewski, A., Lisowski, K.: Adaptive method of adjusting flowgraph for route reconstruction in video surveillance systems. Fundam. Inf. 127(1–4), 561–576 (2013)

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